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_tex/references.bib

@@ -563,6 +563,24 @@ @article{canardEmergenceStructuralPatterns2012
   file = {/Users/tanyastrydom/Zotero/storage/2NWZC39M/Canard et al. - 2012 - Emergence of Structural Patterns in Neutral Trophi.pdf}
 }
 
+@article{canardEmpiricalEvaluationNeutral2014,
+  title = {Empirical {{Evaluation}} of {{Neutral Interactions}} in {{Host-Parasite Networks}}.},
+  author = {Canard, E. F. and Mouquet, N. and Mouillot, D. and Stanko, M. and Miklisova, D. and Gravel, D.},
+  year = {2014},
+  month = apr,
+  journal = {The American Naturalist},
+  volume = {183},
+  number = {4},
+  pages = {468--479},
+  publisher = {The University of Chicago Press},
+  issn = {0003-0147},
+  doi = {10.1086/675363},
+  urldate = {2024-11-22},
+  abstract = {While niche-based processes have been invoked extensively to explain the structure of interaction networks, recent studies propose that neutrality could also be of great importance. Under the neutral hypothesis, network structure would simply emerge from random encounters between individuals and thus would be directly linked to species abundance. We investigated the impact of species abundance distributions on qualitative and quantitative metrics of 113 host-parasite networks. We analyzed the concordance between neutral expectations and empirical observations at interaction, species, and network levels. We found that species abundance accurately predicts network metrics at all levels. Despite host-parasite systems being constrained by physiology and immunology, our results suggest that neutrality could also explain, at least partially, their structure. We hypothesize that trait matching would determine potential interactions between species, while abundance would determine their realization.},
+  keywords = {host-parasite network,network structure,neutrality,null model,species abundance distribution},
+  file = {/Users/tanyastrydom/Zotero/storage/C288TWUC/Canard et al. - 2014 - Empirical Evaluation of Neutral Interactions in Ho.pdf}
+}
+
 @article{caronAddressingEltonianShortfall2022,
   title = {Addressing the {{Eltonian}} Shortfall with Trait-Based Interaction Models},
   author = {Caron, Dominique and Maiorano, Luigi and Thuiller, Wilfried and Pollock, Laura J.},
@@ -655,7 +673,7 @@ @article{cherifEnvironmentRescueCan2024
   year = {2024},
   journal = {Biological Reviews},
   volume = {138},
-  number = {n/a},
+  number = {1},
   issn = {1469-185X},
   doi = {10.1111/brv.13105},
   urldate = {2024-06-17},
@@ -846,6 +864,24 @@ @article{dallasPredictingCrypticLinks2017
   langid = {english}
 }
 
+@misc{danetResponseDiversityMajor2024,
+  title = {Response Diversity Is a Major Driver of Temporal Stability in Complex Food Webs},
+  author = {Danet, Alain and K{\'e}fi, Sonia and Johnson, Thomas F. and Beckerman, Andrew P.},
+  year = {2024},
+  month = aug,
+  primaryclass = {New Results},
+  pages = {2024.08.29.610288},
+  publisher = {bioRxiv},
+  doi = {10.1101/2024.08.29.610288},
+  urldate = {2024-11-24},
+  abstract = {Global change constitutes a suite of major threats to biodiversity and ecosystem functioning. These threats can materialise via changes in the temporal stability of ecological communities and the services they provide. However, the majority of research on stability has focused on single trophic level communities and has not yet integrated classic theory about species richness and food web structure with more recent theory centred on response diversity and stochasticity. Using a stochastic bioenergenetic food-web model, we reveal that response diversity is a major driver of community stability. Moreover, positive stability-richness relationships emerge only in the presence of response diversity. In contrast to previous work, food-web structural properties are only secondary drivers of overall community stability, but interact with response diversity to determine the sign of the stability-richness relationship. Our study highlights the complex pathways by which food-web structure and response diversity drive community stability, and raises concerns about how the loss of response diversity may lead to a breakdown of stability and the capacity for these communities to deliver functions and services to human societies.},
+  archiveprefix = {bioRxiv},
+  chapter = {New Results},
+  copyright = {{\copyright} 2024, Posted by Cold Spring Harbor Laboratory. This pre-print is available under a Creative Commons License (Attribution 4.0 International), CC BY 4.0, as described at http://creativecommons.org/licenses/by/4.0/},
+  langid = {english},
+  file = {/Users/tanyastrydom/Zotero/storage/LQYQF52Y/Danet et al. - 2024 - Response diversity is a major driver of temporal s.pdf}
+}
+
 @article{dansereauSpatiallyExplicitPredictions2024,
   title = {Spatially Explicit Predictions of Food Web Structure from Regional-Level Data},
   author = {Dansereau, Gabriel and Barros, Ceres and Poisot, Timoth{\'e}e},
@@ -1831,6 +1867,18 @@ @article{landiComplexityStabilityEcological2018
   file = {/Users/tanyastrydom/Zotero/storage/K86PGCXN/Landi et al. - 2018 - Complexity and stability of ecological networks a.pdf;/Users/tanyastrydom/Zotero/storage/Q7KG49YB/Landi et al. - 2018 - Complexity and stability of ecological networks a.pdf}
 }
 
+@book{levinPrincetonGuideEcology2009,
+  title = {The {{Princeton Guide}} to {{Ecology}}},
+  author = {Levin, Simon A. and Carpenter, Stephen R. and Godfray, H. Charles J. and Kinzig, Ann P. and Loreau, Michel and Losos, Jonathan B. and Walker, Brian and Wilcove, David S.},
+  year = {2009},
+  month = jul,
+  publisher = {Princeton University Press},
+  abstract = {The Princeton Guide to Ecology is a concise, authoritative one-volume reference to the field's major subjects and key concepts. Edited by eminent ecologist Simon Levin, with contributions from an international team of leading ecologists, the book contains more than ninety clear, accurate, and up-to-date articles on the most important topics within seven major areas: autecology, population ecology, communities and ecosystems, landscapes and the biosphere, conservation biology, ecosystem services, and biosphere management. Complete with more than 200 illustrations (including sixteen pages in color), a glossary of key terms, a chronology of milestones in the field, suggestions for further reading on each topic, and an index, this is an essential volume for undergraduate and graduate students, research ecologists, scientists in related fields, policymakers, and anyone else with a serious interest in ecology. Explains key topics in one concise and authoritative volume  Features more than ninety articles written by an international team of leading ecologists  Contains more than 200 illustrations, including sixteen pages in color  Includes glossary, chronology, suggestions for further reading, and index  Covers autecology, population ecology, communities and ecosystems, landscapes and the biosphere, conservation biology, ecosystem services, and biosphere management},
+  isbn = {978-1-4008-3302-3},
+  langid = {english},
+  keywords = {Nature / Ecology,Reference / General,Science / Reference}
+}
+
 @article{lindemanTrophicDynamicAspectEcology1942,
   title = {The {{Trophic-Dynamic Aspect}} of {{Ecology}}},
   author = {Lindeman, Raymond L.},
@@ -2500,6 +2548,25 @@ @article{pomeranzInferringPredatorPrey2019
   file = {/Users/tanyastrydom/Zotero/storage/L3TGIBKM/Pomeranz et al. - 2019 - Inferring predator–prey interactions in food webs.pdf;/Users/tanyastrydom/Zotero/storage/2GRS36MV/2041-210X.html}
 }
 
+@article{portalierMechanicsPredatorPrey2019,
+  title = {The Mechanics of Predator--Prey Interactions: {{First}} Principles of Physics Predict Predator--Prey Size Ratios},
+  shorttitle = {The Mechanics of Predator--Prey Interactions},
+  author = {Portalier, S{\'e}bastien M. J. and Fussmann, Gregor F. and Loreau, Michel and Cherif, Mehdi},
+  year = {2019},
+  journal = {Functional Ecology},
+  volume = {33},
+  number = {2},
+  pages = {323--334},
+  issn = {1365-2435},
+  doi = {10.1111/1365-2435.13254},
+  urldate = {2024-11-21},
+  abstract = {Robust predictions of predator--prey interactions are fundamental for the understanding of food webs, their structure, dynamics, resistance to species loss, response to invasions and ecosystem function. Most current food web models measure parameters at the food web level to predict patterns at the same level. Thus, they are sensitive to the quality of the data and may be ineffective in predicting non-observed interactions and disturbed food webs. There is a need for mechanistic models that predict the occurrence of a predator--prey interaction based on lower levels of organization (i.e. the traits of organisms) and the properties of their environment. Here, we present such a model that focuses on the predation act itself. We built a Newtonian, mechanical model for the processes of searching, capturing and handling of a prey item by a predator. Associated with general metabolic laws, we predict the net energy gain from predation for pairs of pelagic or flying predator species and their prey depending on their body sizes. Predicted interactions match well with data from the most extensive predator--prey database, and overall model accuracy is greater than the allometric niche model. Our model shows that it is possible to accurately predict the structure of food webs using only a few mechanical traits. It underlines the importance of physical constraints in structuring food webs. A plain language summary is available for this article.},
+  copyright = {{\copyright} 2018 The Authors. Functional Ecology {\copyright} 2018 British Ecological Society},
+  langid = {english},
+  keywords = {body size,energy,mechanics,predation,trophic link},
+  file = {/Users/tanyastrydom/Zotero/storage/ID2XNUC3/Portalier et al. - 2019 - The mechanics of predator–prey interactions First.pdf;/Users/tanyastrydom/Zotero/storage/FNF3LPCW/1365-2435.html}
+}
+
 @article{pringleResolvingFoodWebStructure2020,
   title = {Resolving {{Food-Web Structure}}},
   author = {Pringle, Robert M. and Hutchinson, Matthew C.},
@@ -2860,6 +2927,20 @@ @article{staniczenkoStructuralDynamicsRobustness2010
   file = {/Users/tanyastrydom/Zotero/storage/T35FFRIS/j.1461-0248.2010.01485.html}
 }
 
+@book{stephensForagingTheory1986,
+  title = {Foraging {{Theory}}},
+  author = {Stephens, David W. and Krebs, John R.},
+  year = {1986},
+  volume = {1},
+  eprint = {j.ctvs32s6b},
+  eprinttype = {jstor},
+  publisher = {Princeton University Press},
+  doi = {10.2307/j.ctvs32s6b},
+  urldate = {2024-11-21},
+  abstract = {This account of the current state of foraging theory is also a valuable description of the use of optimality theory in behavioral ecology in general. Organizing and introducing the main research themes in economic analyses of animal feeding behavior, the authors analyze the empirical evidence bearing on foraging models and answer criticisms of optimality modeling. They explain the rationale for applying optimality models to the strategies and mechanics of foraging and present the basic "average-rate maximizing" models and their extensions.     The work discusses new directions in foraging research: incorporating incomplete information and risk-sensitive behavior in foraging models; analyzing trade-offs, such as nutrient requirements and the threat of being eaten while foraging; formulating dynamic models; and building constrained optimization models that assume that foragers can use only simple "rules of thumb." As an analysis of these and earlier research developments and as a contribution to debates about the role of theory in evolutionary biology. \emph{Foraging Theory}  will appeal to a wide range of readers, from students to research professionals, in behavioral ecology, population and community ecology, animal behavior, and animal psychology, and especially to those planning empirical tests of foraging models.},
+  isbn = {978-0-691-08441-1}
+}
+
 @article{stockPairwiseLearningPredicting2021,
   title = {Pairwise Learning for Predicting Pollination Interactions Based on Traits and Phylogeny},
   author = {Stock, Michiel},
@@ -3125,6 +3206,23 @@ @article{valdovinosBioenergeticFrameworkAboveground2023
   file = {/Users/tanyastrydom/Zotero/storage/Y4DWQ6XM/S0169534722002841.html}
 }
 
+@article{vandermeerNicheTheory1972,
+  title = {Niche {{Theory}}},
+  author = {Vandermeer, John H.},
+  year = {1972},
+  month = nov,
+  journal = {Annual Review of Ecology, Evolution, and Systematics},
+  volume = {3},
+  number = {Volume 3, 1972},
+  pages = {107--132},
+  publisher = {Annual Reviews},
+  issn = {1543-592X, 1545-2069},
+  doi = {10.1146/annurev.es.03.110172.000543},
+  urldate = {2024-11-22},
+  langid = {english},
+  file = {/Users/tanyastrydom/Zotero/storage/6SRH8YBD/annurev.es.03.110172.html}
+}
+
 @article{vandewalleArthropodFoodWebs2023,
   title = {Arthropod Food Webs Predicted from Body Size Ratios Are Improved by Incorporating Prey Defensive Properties},
   author = {Van De Walle, Ruben and Logghe, Garben and Haas, Nina and Massol, Fran{\c c}ois and Vandegehuchte, Martijn L. and Bonte, Dries},
@@ -3299,6 +3397,23 @@ @article{windsorUsingEcologicalNetworks2023
   file = {/Users/tanyastrydom/Zotero/storage/2RWFRHTE/jbi.html}
 }
 
+@article{woosterAustraliasRecentlyEstablished2024,
+  title = {Australia's Recently Established Predators Restore Complexity to Food Webs Simplified by Extinction},
+  author = {Wooster, Eamonn I. F. and Middleton, Owen S. and Wallach, Arian D. and Ramp, Daniel and Sanisidro, Oscar and Harris, Valerie K. and Rowan, John and Schowanek, Simon D. and Gordon, Chris E. and Svenning, Jens-Christian and Davis, Matt and Scharlemann, J{\"o}rn P. W. and Nimmo, Dale G. and Lundgren, Erick J. and Sandom, Christopher J.},
+  year = {2024},
+  month = nov,
+  journal = {Current Biology},
+  volume = {34},
+  number = {22},
+  pages = {5164-5172.e2},
+  publisher = {Elsevier},
+  issn = {0960-9822},
+  doi = {10.1016/j.cub.2024.09.049},
+  urldate = {2024-11-22},
+  langid = {english},
+  pmid = {39389058}
+}
+
 @article{woottonMeasurementInteractionStrength2005,
   title = {Measurement of {{Interaction Strength}} in {{Nature}}},
   author = {Wootton, J. Timothy and Emmerson, Mark},